dohlee/foldingdiff-pytorch
An unofficial re-implementation of FoldingDiff, a diffusion-based generative model for protein backbone structure generation.
This project helps protein scientists generate new, stable protein backbone structures that could have novel functions. It takes existing protein structural data and outputs coordinates for potential new protein backbones, along with visualizations of their creation. Researchers in bioinformatics, drug discovery, or materials science who need to design proteins will find this useful.
No commits in the last 6 months. Available on PyPI.
Use this if you need to computationally design or explore novel protein backbone structures for research or application.
Not ideal if you're looking to predict the full 3D structure with side chains, or if you only need to analyze existing protein structures without generating new ones.
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Last pushed
Jul 26, 2023
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